autotab
Variational Autoencoders for Heterogeneous Tabular Data
v0.1.3
·
Feb 8, 2026
·
MIT + file LICENSE
Description
Build and train a variational autoencoder (VAE) for mixed-type tabular data (continuous, binary, categorical). Models are implemented using 'TensorFlow' and 'Keras' via the 'reticulate' interface, enabling reproducible VAE training for heterogeneous tabular datasets.
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| r-release-windows-x86_64 | OK |
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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
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0.1.3
Mar 9, 2026